Branding Products Let’s explore how promotional products support branding to a consumer. Look around your home for an item that has a company’s logo on it. This could be a cup, shirt, pen, bag or any other item that has a company’s logo on it. These are promotional products.
April 3, 2018
A. Write a brief summary (suggested length of 2–3 pages) of the significance and background of a healthcare problem by doing the following: 1. Describe a healthcare problem. 2. Explain the significance of the problem. 3. Describe the current practice related to the problem. 4. Discuss how the problem impacts the organization and/or patient’s cultural background.
April 3, 2018
  • Posted: A Day Ago
  • Due
  • Budget:  $2

 

Homework

Computing a t-test using AGE as the independent variable and CSSE (Current statistics self-efficacy) as the dependent measure. We know from research that age 37 is a good cutpoint for our AGE variable. Use tables below to answer the questions.

Note:

¨ Levenes equality of variance tests: a significance value larger than 0.05 is good.

This means the variances for groups DO NOT differ from each other.

  1. What      is Levenes equality of variance tests significance?
  2. What      is the value of t when      variances are equal? What about unequal?
  3. Is      either value of t      significant?

T-Test

 

Group   Statistics

 

Age

N

Mean

Std.   Deviation

Std.   Error Mean

 

Current Stats Self-Efficacy

>= 37

45

6.44

2.833

.422

 

< 37

68

6.47

2.391

.290

 

Independent   Samples Test

 

Levene’s   Test for Equality of Variances

t-test   for Equality of Means

 

F

Sig.

t

df

Sig.   (2-tailed)

Mean   Difference

Std.   Error Difference

95%   Confidence Interval of the Difference

 

Lower

Upper

 

Current Stats Self-Efficacy

Equal variances assumed

1.782

.185

-.053

111

.958

-.026

.495

-1.007

.954

 

Equal variances not assumed

-.051

83.123

.959

-.026

.512

-1.045

.993

Homework

Computing a t-test using AGE as the independent variable and CSSE (Current statistics self-efficacy) as the dependent measure. We know from research that age 37 is a good cutpoint for our AGE variable. Use tables below to answer the questions.

Note:

¨ Levenes equality of variance tests: a significance value larger than 0.05 is good.

This means the variances for groups DO NOT differ from each other.

  1. What      is Levenes equality of variance tests significance?
  2. What      is the value of t when      variances are equal? What about unequal?
  3. Is      either value of t      significant?

T-Test

 

Group   Statistics

 

Age

N

Mean

Std.   Deviation

Std.   Error Mean

 

Current Stats Self-Efficacy

>= 37

45

6.44

2.833

.422

 

< 37

68

6.47

2.391

.290

 

Independent   Samples Test

 

Levene’s   Test for Equality of Variances

t-test   for Equality of Means

 

F

Sig.

t

df

Sig.   (2-tailed)

Mean   Difference

Std.   Error Difference

95%   Confidence Interval of the Difference

 

Lower

Upper

 

Current Stats Self-Efficacy

Equal variances assumed

1.782

.185

-.053

111

.958

-.026

.495

-1.007

.954

 

Equal variances not assumed

-.051

83.123

.959

-.026

.512

-1.045

.993

  • attachment

    16937764211.rtf
 

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